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APPLYING LEAN 
TECHNIQUES IN THE 
INFRASTRUCTURE 
PROJECT 
Jubail Industrial City , Suadi Arabia 
Presented By- 
Ameer Hasan 
DFT 7 
NIFT KANNUR 
ameerhasan.nift@gmail.com
Lean Case Study Brief - Jubail Industrial City 
The case study performed for this study focused on Jubail Industrial City in Saudi 
Arabia. 
 It is a planned city of 140,000, including facilities and infrastructure construction. 
 Bechtel used a value stream map, system diagnosis, process simulation, pull 
operations, standard work, and improved supply chain logistics to improve the 
construction performance, identify wastes and drastically improve productivity. 
NIFT Kannur - DFT (By - Ameer Hasan) 
2
Jubail Industrial City - Location 
• Jubail Industrial City' Jubail Industrial City (Figure) is one of the largest 
civil engineering projects in the world today. 
• The city serves 40 primary and secondary industries including oil 
refining, petrochemicals and steel as well as hosts a community for 
140,000 residents. 
• Bechtel has been in charge of managing the project on behalf of the 
Royal Commission for Jubail and Yanbu for the past 30 years. 
• Bechtel has provided engineering, procurement, and construction 
management of all of the facilities and the accompanying infrastructure 
for the city located in Northeast Saudi Arabia. 
NIFT Kannur - DFT (By - Ameer Hasan) 
3
Jubail Industrial City Delay 
 In 2008, the Royal Commission re-launched its "Home Ownership Program" for its employees. 
 The first set of construction contracts for the 415 villas was awarded in April 2008. 
 In May 2009, the contractor had failed to erect and complete the super structure for a single 
villa. 
 Due to this delay, Bechtel initiated a system diagnosis to determine the root causes. 
 The targeted area of improvement was increasing the number of exterior insulated panels that 
were delivered to the construction site. 
 The baseline performance target was 18 panels per day which had to be increased by 300% to 
75 panels per day. 
 The team needed to find the best way to achieve this goal in order to get construction of the city 
back on track. 
NIFT Kannur - DFT (By - Ameer Hasan) 
4
Jubail Industrial City: Waste Identified 
 In order to thoroughly understand the current 
state of the process the improvement team 
created a VSM. 
 This map was used to identify the causes for 
delay and determine where the inefficiencies 
were occurring. 
The VSM focused on the cycle from mixing the 
batch of concrete through to transporting 
panels to the site. 
The basic panel cycle is shown in Figure. 
NIFT Kannur - DFT (By - Ameer Hasan) 
5
Jubail Industrial City: Waste Identified 
 The team was looking for 
evidence of waste in the 
process which could be 
improved. 
 The team found five main 
wastes that were 
impacting the success of 
the project as seen in 
Figure 
NIFT Kannur - DFT (By - Ameer Hasan) 
6
Analysing the wastes in the project 
The assessment was made that the contractor had the basic resources in 
place; the deficiencies were due to 
 leadership, 
 The process, and 
 control of the project. 
In order to address the new issues the team identified seven key areas of 
focus and used six Lean tools to establish the performance metrics and 
remedial measures to determine the current and desired performance. 
NIFT Kannur - DFT (By - Ameer Hasan) 
7
Analysing the wastes in the project 
The seven improvement areas the team focused on were: 
• 1) Organization/Leadership; 
• 2) Process/Flow; 
• 3) Waste Nisual Controls; 
• 4) Pull Systems; 
• 5) Standard Work; 
• 6) Resource Configuration; and 
• 7) Logistics. 
NIFT Kannur - DFT (By - Ameer Hasan) 
8
Analysing the wastes in the project 
• These seven areas were analyzed using the following six Lean 
tools: 
• 1) Value Stream Mapping 
• 2) Simulation/Modeling 
• 3) Gemba/Kaizen 
• 4) Takt Time/Pitch 
• 5) Work Balancing; and 
• 6) Control/Capability Charts. 
NIFT Kannur - DFT (By - Ameer Hasan) 
9
Improvement Process 
NIFT Kannur - DFT (By - Ameer Hasan) 
10
Improved Leadership/Supervision 
The team found that there was a lack of top down supervision and this had crippled 
the project's operations. 
To correct this matter, the contractor realized that they had to break down 
communication silos and create a collaborative environment. 
This was done by first identifying a plant manager as well as a general site 
superintendent. 
Additionally, four foremen were appointed to six different production areas, and a full 
time quality engineer was hired to reduce defects. 
 These efforts helped to boost team morale and get the project back on track. 
NIFT Kannur - DFT (By - Ameer Hasan) 
11
Optimized Process Flow Through Increased 
Resource Utilization 
A process simulation was performed on the pre-cast facility and significant 
queuing time was identified for both the Gantry Cranes and the Concrete 
Bucket. 
Resources were quickly reallocated and two Gantry Cranes were then 
dedicated to the production area instead of the one shared crane. 
An additional concrete bucket was also introduced to speed up the casting 
process. 
These as well as a few other adjustments led to constant work on the 
production line and created a higher daily throughput. 
NIFT Kannur - DFT (By - Ameer Hasan) 
12
Eliminated Waste through Better Inventory 
Management 
Reconfiguration of the Panel Stockyard was recommended for better 
access and control as it was a major bottleneck of the production process. 
 The yard was unorganized which led to double handling while moving 
and storing panels as inventory built up. 
To correct the bottleneck issue, the team utilized a grid system which 
provided an efficient method for correctly storing and locating panels. 
Also, an extra transportation lane was added in order to load the panels 
more effectively. 
NIFT Kannur - DFT (By - Ameer Hasan) 
13
Transitioned to Pull Versus Push Operations 
 It was discovered that the fabrication crew was producing panels that were not 
needed immediately on site, which resulted in large inventory build-up. 
To correct this, the fabrication crew worked with the contractor to develop daily 
production schedules to determine which panels needed to be delivered and 
when. 
This helped the crew to develop a Takt Time (see Glossary) in which they found a 
measurement of four panels an hour was required to achieve the 75 panels per 
day requirement. 
This effort led to increased productivity and collaboration on the project. 
NIFT Kannur - DFT (By - Ameer Hasan) 
14
Documented Standard Work 
A lack of standard activities with clear roles, responsibilities, and 
accountabilities led to low craft productivity. 
 The improvement team worked with site management to create 
uniform standard work for both shifts and created a procedure-based 
mode of operations. 
As a result of standard methods, process cycle efficiency increased 
from 6.6% to 22%. 
NIFT Kannur - DFT (By - Ameer Hasan) 
15
Expanded Sandblasting Area with Dedicated 
Resources 
A major bottleneck in the flow of the panels was the lack of sand 
blasting equipment and a secure and safe area in which to work. 
 The improvement team found that the crew size had to be 
increased from two to ten in order to handle the demand of the 
project. 
 Additionally, a new sand blasting area was created and one tower 
crane and two mobile cranes were dedicated solely to this 
operation. 
NIFT Kannur - DFT (By - Ameer Hasan) 
16
Improved Logistics and Supply Chain 
Long turnaround time of panel delivery trucks was cited as a major 
delay due to the fact that one truck was delivering panels to many 
different locations. 
To solve this inefficiency, the stockyard crew was instructed to load 
the panels in clusters of panels that were to be delivered to the 
same location. 
 This helped speed up deliveries and reduce cycle time. 
NIFT Kannur - DFT (By - Ameer Hasan) 
17
Conclusion 18 
Jubail Improvement Results 
NIFT Kannur - DFT (By - Ameer Hasan)
By moving through these steps, 
 The project was able to achieve a 300% productivity gain in the span of one month due to the 
implementation of the results from using LPD tools. 
1. Further data collection and analysis confirmed that the process was in statistical control and that the 
contractor was able to increase the mean output of panels to 80 per day, or a 44% increase from the 
baseline. 
2. Further analysis was conducted in order to confirm that the process was producing consistently and was 
capable of meeting the specifications. 
3. It was determined with a 95% Confidence Level that the improved process would deliver the required 
output 87% of the time. 
NIFT Kannur - DFT (By - Ameer Hasan) 
19
THANK YOU 
National Institute of Fashion Technology , Kannur (India) 
Presented By- 
Ameer Hasan Malik 
Ameerhasan.nift@gmail.com

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Implementation of Lean - Case Study

  • 1. APPLYING LEAN TECHNIQUES IN THE INFRASTRUCTURE PROJECT Jubail Industrial City , Suadi Arabia Presented By- Ameer Hasan DFT 7 NIFT KANNUR ameerhasan.nift@gmail.com
  • 2. Lean Case Study Brief - Jubail Industrial City The case study performed for this study focused on Jubail Industrial City in Saudi Arabia.  It is a planned city of 140,000, including facilities and infrastructure construction.  Bechtel used a value stream map, system diagnosis, process simulation, pull operations, standard work, and improved supply chain logistics to improve the construction performance, identify wastes and drastically improve productivity. NIFT Kannur - DFT (By - Ameer Hasan) 2
  • 3. Jubail Industrial City - Location • Jubail Industrial City' Jubail Industrial City (Figure) is one of the largest civil engineering projects in the world today. • The city serves 40 primary and secondary industries including oil refining, petrochemicals and steel as well as hosts a community for 140,000 residents. • Bechtel has been in charge of managing the project on behalf of the Royal Commission for Jubail and Yanbu for the past 30 years. • Bechtel has provided engineering, procurement, and construction management of all of the facilities and the accompanying infrastructure for the city located in Northeast Saudi Arabia. NIFT Kannur - DFT (By - Ameer Hasan) 3
  • 4. Jubail Industrial City Delay  In 2008, the Royal Commission re-launched its "Home Ownership Program" for its employees.  The first set of construction contracts for the 415 villas was awarded in April 2008.  In May 2009, the contractor had failed to erect and complete the super structure for a single villa.  Due to this delay, Bechtel initiated a system diagnosis to determine the root causes.  The targeted area of improvement was increasing the number of exterior insulated panels that were delivered to the construction site.  The baseline performance target was 18 panels per day which had to be increased by 300% to 75 panels per day.  The team needed to find the best way to achieve this goal in order to get construction of the city back on track. NIFT Kannur - DFT (By - Ameer Hasan) 4
  • 5. Jubail Industrial City: Waste Identified  In order to thoroughly understand the current state of the process the improvement team created a VSM.  This map was used to identify the causes for delay and determine where the inefficiencies were occurring. The VSM focused on the cycle from mixing the batch of concrete through to transporting panels to the site. The basic panel cycle is shown in Figure. NIFT Kannur - DFT (By - Ameer Hasan) 5
  • 6. Jubail Industrial City: Waste Identified  The team was looking for evidence of waste in the process which could be improved.  The team found five main wastes that were impacting the success of the project as seen in Figure NIFT Kannur - DFT (By - Ameer Hasan) 6
  • 7. Analysing the wastes in the project The assessment was made that the contractor had the basic resources in place; the deficiencies were due to  leadership,  The process, and  control of the project. In order to address the new issues the team identified seven key areas of focus and used six Lean tools to establish the performance metrics and remedial measures to determine the current and desired performance. NIFT Kannur - DFT (By - Ameer Hasan) 7
  • 8. Analysing the wastes in the project The seven improvement areas the team focused on were: • 1) Organization/Leadership; • 2) Process/Flow; • 3) Waste Nisual Controls; • 4) Pull Systems; • 5) Standard Work; • 6) Resource Configuration; and • 7) Logistics. NIFT Kannur - DFT (By - Ameer Hasan) 8
  • 9. Analysing the wastes in the project • These seven areas were analyzed using the following six Lean tools: • 1) Value Stream Mapping • 2) Simulation/Modeling • 3) Gemba/Kaizen • 4) Takt Time/Pitch • 5) Work Balancing; and • 6) Control/Capability Charts. NIFT Kannur - DFT (By - Ameer Hasan) 9
  • 10. Improvement Process NIFT Kannur - DFT (By - Ameer Hasan) 10
  • 11. Improved Leadership/Supervision The team found that there was a lack of top down supervision and this had crippled the project's operations. To correct this matter, the contractor realized that they had to break down communication silos and create a collaborative environment. This was done by first identifying a plant manager as well as a general site superintendent. Additionally, four foremen were appointed to six different production areas, and a full time quality engineer was hired to reduce defects.  These efforts helped to boost team morale and get the project back on track. NIFT Kannur - DFT (By - Ameer Hasan) 11
  • 12. Optimized Process Flow Through Increased Resource Utilization A process simulation was performed on the pre-cast facility and significant queuing time was identified for both the Gantry Cranes and the Concrete Bucket. Resources were quickly reallocated and two Gantry Cranes were then dedicated to the production area instead of the one shared crane. An additional concrete bucket was also introduced to speed up the casting process. These as well as a few other adjustments led to constant work on the production line and created a higher daily throughput. NIFT Kannur - DFT (By - Ameer Hasan) 12
  • 13. Eliminated Waste through Better Inventory Management Reconfiguration of the Panel Stockyard was recommended for better access and control as it was a major bottleneck of the production process.  The yard was unorganized which led to double handling while moving and storing panels as inventory built up. To correct the bottleneck issue, the team utilized a grid system which provided an efficient method for correctly storing and locating panels. Also, an extra transportation lane was added in order to load the panels more effectively. NIFT Kannur - DFT (By - Ameer Hasan) 13
  • 14. Transitioned to Pull Versus Push Operations  It was discovered that the fabrication crew was producing panels that were not needed immediately on site, which resulted in large inventory build-up. To correct this, the fabrication crew worked with the contractor to develop daily production schedules to determine which panels needed to be delivered and when. This helped the crew to develop a Takt Time (see Glossary) in which they found a measurement of four panels an hour was required to achieve the 75 panels per day requirement. This effort led to increased productivity and collaboration on the project. NIFT Kannur - DFT (By - Ameer Hasan) 14
  • 15. Documented Standard Work A lack of standard activities with clear roles, responsibilities, and accountabilities led to low craft productivity.  The improvement team worked with site management to create uniform standard work for both shifts and created a procedure-based mode of operations. As a result of standard methods, process cycle efficiency increased from 6.6% to 22%. NIFT Kannur - DFT (By - Ameer Hasan) 15
  • 16. Expanded Sandblasting Area with Dedicated Resources A major bottleneck in the flow of the panels was the lack of sand blasting equipment and a secure and safe area in which to work.  The improvement team found that the crew size had to be increased from two to ten in order to handle the demand of the project.  Additionally, a new sand blasting area was created and one tower crane and two mobile cranes were dedicated solely to this operation. NIFT Kannur - DFT (By - Ameer Hasan) 16
  • 17. Improved Logistics and Supply Chain Long turnaround time of panel delivery trucks was cited as a major delay due to the fact that one truck was delivering panels to many different locations. To solve this inefficiency, the stockyard crew was instructed to load the panels in clusters of panels that were to be delivered to the same location.  This helped speed up deliveries and reduce cycle time. NIFT Kannur - DFT (By - Ameer Hasan) 17
  • 18. Conclusion 18 Jubail Improvement Results NIFT Kannur - DFT (By - Ameer Hasan)
  • 19. By moving through these steps,  The project was able to achieve a 300% productivity gain in the span of one month due to the implementation of the results from using LPD tools. 1. Further data collection and analysis confirmed that the process was in statistical control and that the contractor was able to increase the mean output of panels to 80 per day, or a 44% increase from the baseline. 2. Further analysis was conducted in order to confirm that the process was producing consistently and was capable of meeting the specifications. 3. It was determined with a 95% Confidence Level that the improved process would deliver the required output 87% of the time. NIFT Kannur - DFT (By - Ameer Hasan) 19
  • 20. THANK YOU National Institute of Fashion Technology , Kannur (India) Presented By- Ameer Hasan Malik Ameerhasan.nift@gmail.com